Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	172
Missing cells	1572
Missing cells (%)	27.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	44.5 KiB
Average record size in memory	264.7 B

Variable types

Numeric	9
Categorical	21
Unsupported	3

Warnings

`DESCRIPCION-ENTIDAD` has constant value "Residencia de personas mayores dependientes."	Constant
`PUERTA` has constant value "A"	Constant
`LOCALIDAD` has constant value "MADRID"	Constant
`PROVINCIA` has constant value "MADRID"	Constant
`Unnamed: 32` has constant value " "	Constant
`NOMBRE` has a high cardinality: 172 distinct values	High cardinality
`TRANSPORTE` has a high cardinality: 159 distinct values	High cardinality
`CONTENT-URL` has a high cardinality: 172 distinct values	High cardinality
`NOMBRE-VIA` has a high cardinality: 154 distinct values	High cardinality
`BARRIO` has a high cardinality: 87 distinct values	High cardinality
`TELEFONO` has a high cardinality: 166 distinct values	High cardinality
`COORDENADA-X` is highly correlated with `LONGITUD`	High correlation
`COORDENADA-Y` is highly correlated with `LATITUD`	High correlation
`LATITUD` is highly correlated with `COORDENADA-Y`	High correlation
`LONGITUD` is highly correlated with `COORDENADA-X`	High correlation
`DESCRIPCION-ENTIDAD` has 171 (99.4%) missing values	Missing
`HORARIO` has 168 (97.7%) missing values	Missing
`EQUIPAMIENTO` has 23 (13.4%) missing values	Missing
`TRANSPORTE` has 4 (2.3%) missing values	Missing
`DESCRIPCION` has 167 (97.1%) missing values	Missing
`PLANTA` has 166 (96.5%) missing values	Missing
`PUERTA` has 171 (99.4%) missing values	Missing
`ESCALERAS` has 172 (100.0%) missing values	Missing
`ORIENTACION` has 165 (95.9%) missing values	Missing
`COD-BARRIO` has 6 (3.5%) missing values	Missing
`BARRIO` has 2 (1.2%) missing values	Missing
`COD-DISTRITO` has 6 (3.5%) missing values	Missing
`LATITUD` has 2 (1.2%) missing values	Missing
`LONGITUD` has 2 (1.2%) missing values	Missing
`TELEFONO` has 2 (1.2%) missing values	Missing
`FAX` has 172 (100.0%) missing values	Missing
`EMAIL` has 172 (100.0%) missing values	Missing
`NOMBRE` is uniformly distributed	Uniform
`TRANSPORTE` is uniformly distributed	Uniform
`CONTENT-URL` is uniformly distributed	Uniform
`NOMBRE-VIA` is uniformly distributed	Uniform
`ORIENTACION` is uniformly distributed	Uniform
`TELEFONO` is uniformly distributed	Uniform
`PK` has unique values	Unique
`NOMBRE` has unique values	Unique
`CONTENT-URL` has unique values	Unique
`ESCALERAS` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`FAX` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`EMAIL` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-10-08 13:06:27.397883
Analysis finished	2022-10-08 13:06:37.700818
Duration	10.3 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

PK
Real number (ℝ_≥0)

UNIQUE

Distinct	172
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4330253.733
Minimum	11275
Maximum	11545359
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	11275
5-th percentile	11315.95
Q1	54678.25
median	5115017.5
Q3	6891576
95-th percentile	11542498.95
Maximum	11545359
Range	11534084
Interquartile range (IQR)	6836897.75

Descriptive statistics

Standard deviation	4346750.001
Coefficient of variation (CV)	1.003809538
Kurtosis	-1.353358418
Mean	4330253.733
Median Absolute Deviation (MAD)	4995886
Skewness	0.3705503415
Sum	744803642
Variance	1.889423557 × 10¹³
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23711	1	0.6%
144463	1	0.6%
11311	1	0.6%
11380	1	0.6%
131609	1	0.6%
11848	1	0.6%
5937228	1	0.6%
5935000	1	0.6%
10843310	1	0.6%
36067	1	0.6%
Other values (162)	162	94.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11275	1	0.6%
11279	1	0.6%
11282	1	0.6%
11285	1	0.6%
11288	1	0.6%

Value	Count	Frequency (%)
11545359	1	0.6%
11545229	1	0.6%
11545208	1	0.6%
11545193	1	0.6%
11545182	1	0.6%

NOMBRE
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	172
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

Apartamentos Municipales para Mayores 'Retiro'	1
Residencia para mayores Sanitas Residencial Puerta de Hierro	1
Residencia para mayores San Enrique y Santa Rita	1
Residencia para mayores San Francisco de Paula	1
Residencia para mayores San José	1
Other values (167)	167

Length

Max length	91
Median length	45
Mean length	46.78488372
Min length	22

Characters and Unicode

Total characters	8047
Distinct characters	63
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	172 ?
Unique (%)	100.0%

Sample

1st row	Apartamentos Municipales para Mayores 'Retiro'
2nd row	Apartamentos Municipales para Mayores 'San Francisco'
3rd row	Centro de día Gerontológico de Estancia Diurna
4th row	Centro de día Vivendia Personas Mayores
5th row	Centro de día para enfermos de alzheimer Reina Sofía (calle Infanta Mercedes 26)

Value	Count	Frequency (%)
Apartamentos Municipales para Mayores 'Retiro'	1	0.6%
Residencia para mayores Sanitas Residencial Puerta de Hierro	1	0.6%
Residencia para mayores San Enrique y Santa Rita	1	0.6%
Residencia para mayores San Francisco de Paula	1	0.6%
Residencia para mayores San José	1	0.6%
Residencia para mayores San Juan de Dios	1	0.6%
Residencia para mayores San Luis Gonzaga (Los Almendros)	1	0.6%
Residencia para mayores Sanitas El Viso	1	0.6%
Residencia para mayores Sanitas Residencial Alameda	1	0.6%
Residencia para mayores Sanitas Residencial La Florida	1	0.6%
Other values (162)	162	94.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
mayores	167	14.2%
para	163	13.9%
residencia	156	13.3%
de	77	6.6%
centro	55	4.7%
día	50	4.3%
y	42	3.6%
santa	11	0.9%
san	11	0.9%
los	11	0.9%
Other values (255)	429	36.6%

Most occurring characters

Value	Count	Frequency (%)
a	1191	14.8%
	1001	12.4%
e	866	10.8%
r	632	7.9%
i	528	6.6%
s	501	6.2%
o	401	5.0%
d	377	4.7%
n	374	4.6%
c	251	3.1%
Other values (53)	1925	23.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6394	79.5%
Space Separator	1001	12.4%
Uppercase Letter	622	7.7%
Other Punctuation	11	0.1%
Open Punctuation	6	0.1%
Close Punctuation	6	0.1%
Decimal Number	4	< 0.1%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	1191	18.6%
e	866	13.5%
r	632	9.9%
i	528	8.3%
s	501	7.8%
o	401	6.3%
d	377	5.9%
n	374	5.8%
c	251	3.9%
y	212	3.3%
Other values (20)	1061	16.6%

Value	Count	Frequency (%)
R	171	27.5%
S	60	9.6%
C	59	9.5%
M	50	8.0%
A	40	6.4%
V	30	4.8%
L	29	4.7%
P	26	4.2%
E	20	3.2%
I	17	2.7%
Other values (13)	120	19.3%

Value	Count	Frequency (%)
2	1	25.0%
6	1	25.0%
7	1	25.0%
5	1	25.0%

Value	Count	Frequency (%)
'	10	90.9%
,	1	9.1%

Value	Count	Frequency (%)
	1001	100.0%

Value	Count	Frequency (%)
(	6	100.0%

Value	Count	Frequency (%)
)	6	100.0%

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7016	87.2%
Common	1031	12.8%

Most frequent character per script

Value	Count	Frequency (%)
a	1191	17.0%
e	866	12.3%
r	632	9.0%
i	528	7.5%
s	501	7.1%
o	401	5.7%
d	377	5.4%
n	374	5.3%
c	251	3.6%
y	212	3.0%
Other values (43)	1683	24.0%

Value	Count	Frequency (%)
	1001	97.1%
'	10	1.0%
(	6	0.6%
)	6	0.6%
-	3	0.3%
2	1	0.1%
6	1	0.1%
7	1	0.1%
5	1	0.1%
,	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7949	98.8%
Latin 1 Sup	98	1.2%

Most frequent character per block

Value	Count	Frequency (%)
a	1191	15.0%
	1001	12.6%
e	866	10.9%
r	632	8.0%
i	528	6.6%
s	501	6.3%
o	401	5.0%
d	377	4.7%
n	374	4.7%
c	251	3.2%
Other values (46)	1827	23.0%

Value	Count	Frequency (%)
í	70	71.4%
ñ	9	9.2%
á	7	7.1%
ó	6	6.1%
é	4	4.1%
Á	1	1.0%
ú	1	1.0%

DESCRIPCION-ENTIDAD
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	171
Missing (%)	99.4%
Memory size	1.5 KiB

Residencia de personas mayores dependientes.	1

Length

Max length	44
Median length	44
Mean length	44
Min length	44

Characters and Unicode

Total characters	44
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Residencia de personas mayores dependientes.

Value	Count	Frequency (%)
Residencia de personas mayores dependientes.	1	0.6%
(Missing)	171	99.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
residencia	1	20.0%
de	1	20.0%
personas	1	20.0%
mayores	1	20.0%
dependientes	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
e	9	20.5%
s	5	11.4%
d	4	9.1%
n	4	9.1%
	4	9.1%
i	3	6.8%
a	3	6.8%
p	2	4.5%
r	2	4.5%
o	2	4.5%
Other values (6)	6	13.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38	86.4%
Space Separator	4	9.1%
Uppercase Letter	1	2.3%
Other Punctuation	1	2.3%

Most frequent character per category

Value	Count	Frequency (%)
e	9	23.7%
s	5	13.2%
d	4	10.5%
n	4	10.5%
i	3	7.9%
a	3	7.9%
p	2	5.3%
r	2	5.3%
o	2	5.3%
c	1	2.6%
Other values (3)	3	7.9%

Value	Count	Frequency (%)
R	1	100.0%

Value	Count	Frequency (%)
	4	100.0%

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39	88.6%
Common	5	11.4%

Most frequent character per script

Value	Count	Frequency (%)
e	9	23.1%
s	5	12.8%
d	4	10.3%
n	4	10.3%
i	3	7.7%
a	3	7.7%
p	2	5.1%
r	2	5.1%
o	2	5.1%
R	1	2.6%
Other values (4)	4	10.3%

Value	Count	Frequency (%)
	4	80.0%
.	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	9	20.5%
s	5	11.4%
d	4	9.1%
n	4	9.1%
	4	9.1%
i	3	6.8%
a	3	6.8%
p	2	4.5%
r	2	4.5%
o	2	4.5%
Other values (6)	6	13.6%

HORARIO
Categorical

MISSING

Distinct	3
Distinct (%)	75.0%
Missing	168
Missing (%)	97.7%
Memory size	1.5 KiB

De lunes a domingo de 9 a 22 horas.	2
De lunes a viernes de 9 a 18 horas.	1
Residencia de personas mayores dependientes y centro de día.	1

Length

Max length	60
Median length	35
Mean length	41.25
Min length	35

Characters and Unicode

Total characters	165
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	50.0%

Sample

1st row	De lunes a domingo de 9 a 22 horas.
2nd row	De lunes a domingo de 9 a 22 horas.
3rd row	De lunes a viernes de 9 a 18 horas.
4th row	Residencia de personas mayores dependientes y centro de día.

Value	Count	Frequency (%)
De lunes a domingo de 9 a 22 horas.	2	1.2%
De lunes a viernes de 9 a 18 horas.	1	0.6%
Residencia de personas mayores dependientes y centro de día.	1	0.6%
(Missing)	168	97.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	8	22.2%
a	6	16.7%
lunes	3	8.3%
9	3	8.3%
horas	3	8.3%
domingo	2	5.6%
22	2	5.6%
viernes	1	2.8%
18	1	2.8%
residencia	1	2.8%
Other values (6)	6	16.7%

Most occurring characters

Value	Count	Frequency (%)
	32	19.4%
e	22	13.3%
a	13	7.9%
s	12	7.3%
n	11	6.7%
d	11	6.7%
o	10	6.1%
r	7	4.2%
i	6	3.6%
2	4	2.4%
Other values (17)	37	22.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116	70.3%
Space Separator	32	19.4%
Decimal Number	9	5.5%
Uppercase Letter	4	2.4%
Other Punctuation	4	2.4%

Most frequent character per category

Value	Count	Frequency (%)
e	22	19.0%
a	13	11.2%
s	12	10.3%
n	11	9.5%
d	11	9.5%
o	10	8.6%
r	7	6.0%
i	6	5.2%
l	3	2.6%
u	3	2.6%
Other values (9)	18	15.5%

Value	Count	Frequency (%)
2	4	44.4%
9	3	33.3%
1	1	11.1%
8	1	11.1%

Value	Count	Frequency (%)
D	3	75.0%
R	1	25.0%

Value	Count	Frequency (%)
	32	100.0%

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	120	72.7%
Common	45	27.3%

Most frequent character per script

Value	Count	Frequency (%)
e	22	18.3%
a	13	10.8%
s	12	10.0%
n	11	9.2%
d	11	9.2%
o	10	8.3%
r	7	5.8%
i	6	5.0%
D	3	2.5%
l	3	2.5%
Other values (11)	22	18.3%

Value	Count	Frequency (%)
	32	71.1%
2	4	8.9%
.	4	8.9%
9	3	6.7%
1	1	2.2%
8	1	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164	99.4%
Latin 1 Sup	1	0.6%

Most frequent character per block

Value	Count	Frequency (%)
	32	19.5%
e	22	13.4%
a	13	7.9%
s	12	7.3%
n	11	6.7%
d	11	6.7%
o	10	6.1%
r	7	4.3%
i	6	3.7%
2	4	2.4%
Other values (16)	36	22.0%

Value	Count	Frequency (%)
í	1	100.0%

EQUIPAMIENTO
Categorical

MISSING

Distinct	17
Distinct (%)	11.4%
Missing	23
Missing (%)	13.4%
Memory size	1.5 KiB

Residencia de personas mayores dependientes.	65
Residencia de personas mayores mixta.	41
Residencia de personas mayores dependientes y centro de día.	19
Residencia de personas mayores mixta y centro de día.	5
Centro de día y residencia de personas mayores mixta.	3
Other values (12)	16

Length

Max length	150
Median length	44
Mean length	46.51006711
Min length	12

Characters and Unicode

Total characters	6930
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	5.4%

Sample

1st row	Alojamiento.
2nd row	Alojamiento.
3rd row	Centro de día y residencia de personas mayores mixta.
4th row	Centro de día y residencia de personas mayores dependientes.
5th row	Centro de día y residencia de personas mayores mixta.

Value	Count	Frequency (%)
Residencia de personas mayores dependientes.	65	37.8%
Residencia de personas mayores mixta.	41	23.8%
Residencia de personas mayores dependientes y centro de día.	19	11.0%
Residencia de personas mayores mixta y centro de día.	5	2.9%
Centro de día y residencia de personas mayores mixta.	3	1.7%
Alojamiento.	2	1.2%
Centro de día y residencia de personas mayores dependientes.	2	1.2%
Asistencia médica y enfermería - Fisioterapia - Rehabilitación - Terapia ocupacional - Gerocultoras 24 horas. Comedor - Gimnasio - Terraza ajardinada.	2	1.2%
Residencia de personas mayores autónomas.	2	1.2%
Residencia para personas mayores dependientes y centro de día.	1	0.6%
Other values (7)	7	4.1%
(Missing)	23	13.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	175	19.2%
personas	145	15.9%
mayores	145	15.9%
residencia	144	15.8%
dependientes	89	9.8%
mixta	50	5.5%
y	36	4.0%
día	33	3.6%
centro	33	3.6%
	12	1.3%
Other values (29)	48	5.3%

Most occurring characters

Value	Count	Frequency (%)
e	1174	16.9%
	761	11.0%
s	690	10.0%
a	580	8.4%
d	541	7.8%
n	524	7.6%
i	465	6.7%
o	356	5.1%
r	355	5.1%
p	244	3.5%
Other values (27)	1240	17.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5838	84.2%
Space Separator	761	11.0%
Uppercase Letter	164	2.4%
Other Punctuation	151	2.2%
Dash Punctuation	12	0.2%
Decimal Number	4	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	1174	20.1%
s	690	11.8%
a	580	9.9%
d	541	9.3%
n	524	9.0%
i	465	8.0%
o	356	6.1%
r	355	6.1%
p	244	4.2%
m	212	3.6%
Other values (15)	697	11.9%

Value	Count	Frequency (%)
R	141	86.0%
C	7	4.3%
A	6	3.7%
T	4	2.4%
G	4	2.4%
F	2	1.2%

Value	Count	Frequency (%)
.	149	98.7%
,	2	1.3%

Value	Count	Frequency (%)
2	2	50.0%
4	2	50.0%

Value	Count	Frequency (%)
	761	100.0%

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6002	86.6%
Common	928	13.4%

Most frequent character per script

Value	Count	Frequency (%)
e	1174	19.6%
s	690	11.5%
a	580	9.7%
d	541	9.0%
n	524	8.7%
i	465	7.7%
o	356	5.9%
r	355	5.9%
p	244	4.1%
m	212	3.5%
Other values (21)	861	14.3%

Value	Count	Frequency (%)
	761	82.0%
.	149	16.1%
-	12	1.3%
2	2	0.2%
4	2	0.2%
,	2	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6886	99.4%
Latin 1 Sup	44	0.6%

Most frequent character per block

Value	Count	Frequency (%)
e	1174	17.0%
	761	11.1%
s	690	10.0%
a	580	8.4%
d	541	7.9%
n	524	7.6%
i	465	6.8%
o	356	5.2%
r	355	5.2%
p	244	3.5%
Other values (24)	1196	17.4%

Value	Count	Frequency (%)
í	35	79.5%
ó	7	15.9%
é	2	4.5%

TRANSPORTE
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	159
Distinct (%)	94.6%
Missing	4
Missing (%)	2.3%
Memory size	1.5 KiB

Bus: 162.	4
Bus: 58, 63, 145. Cercanías Renfe: Santa Eugenia (líneas C2 y C7).	2
Metro: Arturo Soria (línea 4). Bus: 11, 122, 70.	2
Metro: Pío XII (línea 9). Bus: 14, 150.	2
Metro: Oporto (líneas 5 y 6). Bus: 34, 35, 118.	2
Other values (154)	156

Length

Max length	302
Median length	55
Mean length	78.41666667
Min length	8

Characters and Unicode

Total characters	13174
Distinct characters	75
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	152 ?
Unique (%)	90.5%

Sample

1st row	Metro: Sainz de BarandaBus: 15, 30, 56, 143, 202
2nd row	Metro: LatinaBus: 3, 148
3rd row	Metro: San Francisco (línea 11). Bus: 118, 47.
4th row	Metro: Usera (línea 6). Bus: 78.
5th row	Metro: Tetuán (línea 1). Bus: 126, 3. Bicimad: Estaciones 155 (calle San Germán, 57), 154 (calle Orense, 36), 152 (avenida del General Perón, 4). Aparcamiento: Presidente Carmona (33), avenida Presidente Carmona.

Value	Count	Frequency (%)
Bus: 162.	4	2.3%
Bus: 58, 63, 145. Cercanías Renfe: Santa Eugenia (líneas C2 y C7).	2	1.2%
Metro: Arturo Soria (línea 4). Bus: 11, 122, 70.	2	1.2%
Metro: Pío XII (línea 9). Bus: 14, 150.	2	1.2%
Metro: Oporto (líneas 5 y 6). Bus: 34, 35, 118.	2	1.2%
Bus: 163.	2	1.2%
Metro: Esperanza (línea 4). Bus: 120, 122.	2	1.2%
Bus: 116, 78. Cercanías Renfe: Orcasitas (línea C5).	1	0.6%
Metro: Concha Espina (línea 9), Colombia (líneas 8 y 9). Bus: 51, 7, 120, 43, 14. Bicimad: Estación 159: Paseo de la Habana, 63.	1	0.6%
Metro: Concha Espina (línea 9). Bus: 51, 7, 16, 29, 52, 19. Bicimad: Estaciones 147 (avenida del Doctor Arce, 45), 197 (avenida de Concha Espina, 34).	1	0.6%
Other values (149)	149	86.6%
(Missing)	4	2.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
bus	165	7.2%
línea	131	5.7%
metro	127	5.5%
y	65	2.8%
calle	55	2.4%
de	54	2.4%
líneas	50	2.2%
bicimad	42	1.8%
6	40	1.7%
4	40	1.7%
Other values (464)	1520	66.4%

Most occurring characters

Value	Count	Frequency (%)
	2348	17.8%
a	884	6.7%
e	821	6.2%
,	565	4.3%
n	529	4.0%
l	502	3.8%
1	457	3.5%
s	417	3.2%
r	403	3.1%
o	379	2.9%
Other values (65)	5869	44.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6091	46.2%
Space Separator	2348	17.8%
Decimal Number	1848	14.0%
Other Punctuation	1310	9.9%
Uppercase Letter	1039	7.9%
Open Punctuation	267	2.0%
Close Punctuation	267	2.0%
Dash Punctuation	4	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	884	14.5%
e	821	13.5%
n	529	8.7%
l	502	8.2%
s	417	6.8%
r	403	6.6%
o	379	6.2%
i	331	5.4%
t	274	4.5%
u	270	4.4%
Other values (20)	1281	21.0%

Value	Count	Frequency (%)
B	246	23.7%
M	154	14.8%
C	152	14.6%
E	67	6.4%
A	67	6.4%
P	56	5.4%
R	54	5.2%
S	41	3.9%
V	28	2.7%
I	26	2.5%
Other values (14)	148	14.2%

Value	Count	Frequency (%)
1	457	24.7%
2	219	11.9%
4	206	11.1%
3	205	11.1%
5	173	9.4%
7	148	8.0%
6	142	7.7%
0	123	6.7%
8	89	4.8%
9	86	4.7%

Value	Count	Frequency (%)
,	565	43.1%
:	372	28.4%
.	356	27.2%
;	9	0.7%
'	4	0.3%
&	3	0.2%
/	1	0.1%

Value	Count	Frequency (%)
	2348	100.0%

Value	Count	Frequency (%)
(	267	100.0%

Value	Count	Frequency (%)
)	267	100.0%

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7130	54.1%
Common	6044	45.9%

Most frequent character per script

Value	Count	Frequency (%)
a	884	12.4%
e	821	11.5%
n	529	7.4%
l	502	7.0%
s	417	5.8%
r	403	5.7%
o	379	5.3%
i	331	4.6%
t	274	3.8%
u	270	3.8%
Other values (44)	2320	32.5%

Value	Count	Frequency (%)
	2348	38.8%
,	565	9.3%
1	457	7.6%
:	372	6.2%
.	356	5.9%
(	267	4.4%
)	267	4.4%
2	219	3.6%
4	206	3.4%
3	205	3.4%
Other values (11)	782	12.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12851	97.5%
Latin 1 Sup	323	2.5%

Most frequent character per block

Value	Count	Frequency (%)
	2348	18.3%
a	884	6.9%
e	821	6.4%
,	565	4.4%
n	529	4.1%
l	502	3.9%
1	457	3.6%
s	417	3.2%
r	403	3.1%
o	379	2.9%
Other values (58)	5546	43.2%

Value	Count	Frequency (%)
í	230	71.2%
ó	39	12.1%
á	22	6.8%
é	12	3.7%
ñ	9	2.8%
Á	6	1.9%
ú	5	1.5%

DESCRIPCION
Categorical

MISSING

Distinct	4
Distinct (%)	80.0%
Missing	167
Missing (%)	97.1%
Memory size	1.5 KiB

Condiciones de Admisión: - Estar empadronado en el municipio de Madrid.- Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años).- Ser autónomo en la realización de las actividades básicas diarias.- Carecer de vivienda propia o ser ésta inadecuada y/o encontrarse en riesgo por vivir solo.- Estar dispuesto a ingresar en un Centro Residencial Asistido cuando no se valga por sí mismo.	2
Información Complementaria: Estar empadronado en el municipio de Madrid. Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años). Estar afectado de deterioro físico o relacional. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 36	1
Información Complementaria: Estar empadronado en el Municipio de Madrid. Ser mayor de 60 años. Padecer enfermedad de Alzheimer u otra demencia. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 58	1
Información Complementaria: Estar empadronado en el Municipio de Madrid. Ser mayor de 60 años. Padecer enfermedad de Alzheimer u otra demencia. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 90.	1

Length

Max length	430
Median length	361
Mean length	356.4
Min length	280

Characters and Unicode

Total characters	1782
Distinct characters	49
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	60.0%

Sample

1st row	Condiciones de Admisión: - Estar empadronado en el municipio de Madrid.- Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años).- Ser autónomo en la realización de las actividades básicas diarias.- Carecer de vivienda propia o ser ésta inadecuada y/o encontrarse en riesgo por vivir solo.- Estar dispuesto a ingresar en un Centro Residencial Asistido cuando no se valga por sí mismo.
2nd row	Condiciones de Admisión: - Estar empadronado en el municipio de Madrid.- Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años).- Ser autónomo en la realización de las actividades básicas diarias.- Carecer de vivienda propia o ser ésta inadecuada y/o encontrarse en riesgo por vivir solo.- Estar dispuesto a ingresar en un Centro Residencial Asistido cuando no se valga por sí mismo.
3rd row	Información Complementaria: Estar empadronado en el municipio de Madrid. Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años). Estar afectado de deterioro físico o relacional. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 36
4th row	Información Complementaria: Estar empadronado en el Municipio de Madrid. Ser mayor de 60 años. Padecer enfermedad de Alzheimer u otra demencia. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 58
5th row	Información Complementaria: Estar empadronado en el Municipio de Madrid. Ser mayor de 60 años. Padecer enfermedad de Alzheimer u otra demencia. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 90.

Value	Count	Frequency (%)
Condiciones de Admisión: - Estar empadronado en el municipio de Madrid.- Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años).- Ser autónomo en la realización de las actividades básicas diarias.- Carecer de vivienda propia o ser ésta inadecuada y/o encontrarse en riesgo por vivir solo.- Estar dispuesto a ingresar en un Centro Residencial Asistido cuando no se valga por sí mismo.	2	1.2%
Información Complementaria: Estar empadronado en el municipio de Madrid. Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años). Estar afectado de deterioro físico o relacional. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 36	1	0.6%
Información Complementaria: Estar empadronado en el Municipio de Madrid. Ser mayor de 60 años. Padecer enfermedad de Alzheimer u otra demencia. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 58	1	0.6%
Información Complementaria: Estar empadronado en el Municipio de Madrid. Ser mayor de 60 años. Padecer enfermedad de Alzheimer u otra demencia. Presentar una situación socio-familiar y limitación de su autonomía personal que le impida seguir viviendo en su domicilio. Plazas: 90.	1	0.6%
(Missing)	167	97.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	22	7.9%
en	14	5.0%
que	9	3.2%
ser	9	3.2%
el	8	2.9%
años	8	2.9%
estar	8	2.9%
su	6	2.2%
empadronado	5	1.8%
municipio	5	1.8%
Other values (77)	185	66.3%

Most occurring characters

Value	Count	Frequency (%)
	280	15.7%
e	157	8.8%
a	150	8.4%
i	143	8.0%
o	116	6.5%
n	104	5.8%
r	95	5.3%
s	92	5.2%
d	88	4.9%
m	60	3.4%
Other values (39)	497	27.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1375	77.2%
Space Separator	280	15.7%
Uppercase Letter	50	2.8%
Other Punctuation	36	2.0%
Decimal Number	22	1.2%
Dash Punctuation	13	0.7%
Open Punctuation	3	0.2%
Close Punctuation	3	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	157	11.4%
a	150	10.9%
i	143	10.4%
o	116	8.4%
n	104	7.6%
r	95	6.9%
s	92	6.7%
d	88	6.4%
m	60	4.4%
c	57	4.1%
Other values (17)	313	22.8%

Value	Count	Frequency (%)
C	9	18.0%
E	8	16.0%
P	8	16.0%
M	7	14.0%
S	7	14.0%
A	6	12.0%
I	3	6.0%
R	2	4.0%

Value	Count	Frequency (%)
6	9	40.9%
0	6	27.3%
5	4	18.2%
3	1	4.5%
8	1	4.5%
9	1	4.5%

Value	Count	Frequency (%)
.	23	63.9%
:	8	22.2%
,	3	8.3%
/	2	5.6%

Value	Count	Frequency (%)
	280	100.0%

Value	Count	Frequency (%)
-	13	100.0%

Value	Count	Frequency (%)
(	3	100.0%

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1425	80.0%
Common	357	20.0%

Most frequent character per script

Value	Count	Frequency (%)
e	157	11.0%
a	150	10.5%
i	143	10.0%
o	116	8.1%
n	104	7.3%
r	95	6.7%
s	92	6.5%
d	88	6.2%
m	60	4.2%
c	57	4.0%
Other values (25)	363	25.5%

Value	Count	Frequency (%)
	280	78.4%
.	23	6.4%
-	13	3.6%
6	9	2.5%
:	8	2.2%
0	6	1.7%
5	4	1.1%
(	3	0.8%
,	3	0.8%
)	3	0.8%
Other values (4)	5	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1740	97.6%
Latin 1 Sup	42	2.4%

Most frequent character per block

Value	Count	Frequency (%)
	280	16.1%
e	157	9.0%
a	150	8.6%
i	143	8.2%
o	116	6.7%
n	104	6.0%
r	95	5.5%
s	92	5.3%
d	88	5.1%
m	60	3.4%
Other values (34)	455	26.1%

Value	Count	Frequency (%)
ó	18	42.9%
ñ	8	19.0%
é	8	19.0%
í	6	14.3%
á	2	4.8%

ACCESIBILIDAD
Categorical

Distinct	2
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

3	165
1	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	172
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	3
5th row	3

Value	Count	Frequency (%)
3	165	95.9%
1	7	4.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
3	165	95.9%
1	7	4.1%

Most occurring characters

Value	Count	Frequency (%)
3	165	95.9%
1	7	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	172	100.0%

Most frequent character per category

Value	Count	Frequency (%)
3	165	95.9%
1	7	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	172	100.0%

Most frequent character per script

Value	Count	Frequency (%)
3	165	95.9%
1	7	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	165	95.9%
1	7	4.1%

CONTENT-URL
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	172
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=ce926545f951c010VgnVCM2000000c205a0aRCRD	1
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=8b75ba61e681c010VgnVCM1000000b205a0aRCRD	1
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=b4e75a0f8161c010VgnVCM1000000b205a0aRCRD	1
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=4e3772081661c010VgnVCM1000000b205a0aRCRD	1
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=c4f06da0aa81c010VgnVCM1000000b205a0aRCRD	1
Other values (167)	167

Length

Max length	144
Median length	144
Mean length	144
Min length	144

Characters and Unicode

Total characters	24768
Distinct characters	42
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	172 ?
Unique (%)	100.0%

Sample

1st row	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=ce926545f951c010VgnVCM2000000c205a0aRCRD
2nd row	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=8300d4985261c010VgnVCM1000000b205a0aRCRD
3rd row	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=e3a5eabb8aa7d710VgnVCM1000001d4a900aRCRD
4th row	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=e95685f23df6d710VgnVCM2000001f4a900aRCRD
5th row	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=83c3eabb8aa7d710VgnVCM1000001d4a900aRCRD

Value	Count	Frequency (%)
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=ce926545f951c010VgnVCM2000000c205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=8b75ba61e681c010VgnVCM1000000b205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=b4e75a0f8161c010VgnVCM1000000b205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=4e3772081661c010VgnVCM1000000b205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=c4f06da0aa81c010VgnVCM1000000b205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=9a8fd4985261c010VgnVCM1000000b205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=6745b7a3621ed210VgnVCM2000000c205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=4443d788acccd210VgnVCM2000000c205a0aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=137c760a581a7610VgnVCM1000001d4a900aRCRD	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=8abc444a2951c010VgnVCM2000000c205a0aRCRD	1	0.6%
Other values (162)	162	94.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=ce926545f951c010vgnvcm2000000c205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=8b75ba61e681c010vgnvcm1000000b205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=b4e75a0f8161c010vgnvcm1000000b205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=4e3772081661c010vgnvcm1000000b205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=c4f06da0aa81c010vgnvcm1000000b205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=9a8fd4985261c010vgnvcm1000000b205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=6745b7a3621ed210vgnvcm2000000c205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=4443d788acccd210vgnvcm2000000c205a0arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=137c760a581a7610vgnvcm1000001d4a900arcrd	1	0.6%
http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410vgnvcm100000171f5a0arcrd&vgnextoid=8abc444a2951c010vgnvcm2000000c205a0arcrd	1	0.6%
Other values (162)	162	94.2%

Most occurring characters

Value	Count	Frequency (%)
0	2922	11.8%
a	1500	6.1%
1	1224	4.9%
n	1204	4.9%
e	1141	4.6%
d	1051	4.2%
b	906	3.7%
t	860	3.5%
/	860	3.5%
4	689	2.8%
Other values (32)	12411	50.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12714	51.3%
Decimal Number	7066	28.5%
Uppercase Letter	2752	11.1%
Other Punctuation	1892	7.6%
Math Symbol	344	1.4%

Most frequent character per category

Value	Count	Frequency (%)
a	1500	11.8%
n	1204	9.5%
e	1141	9.0%
d	1051	8.3%
b	906	7.1%
t	860	6.8%
i	688	5.4%
s	688	5.4%
g	688	5.4%
w	516	4.1%
Other values (11)	3472	27.3%

Value	Count	Frequency (%)
0	2922	41.4%
1	1224	17.3%
4	689	9.8%
5	456	6.5%
2	364	5.2%
8	351	5.0%
7	342	4.8%
6	320	4.5%
3	274	3.9%
9	124	1.8%

Value	Count	Frequency (%)
/	860	45.5%
.	516	27.3%
:	172	9.1%
?	172	9.1%
&	172	9.1%

Value	Count	Frequency (%)
V	688	25.0%
C	688	25.0%
R	688	25.0%
M	344	12.5%
D	344	12.5%

Value	Count	Frequency (%)
=	344	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15466	62.4%
Common	9302	37.6%

Most frequent character per script

Value	Count	Frequency (%)
a	1500	9.7%
n	1204	7.8%
e	1141	7.4%
d	1051	6.8%
b	906	5.9%
t	860	5.6%
i	688	4.4%
s	688	4.4%
g	688	4.4%
V	688	4.4%
Other values (16)	6052	39.1%

Value	Count	Frequency (%)
0	2922	31.4%
1	1224	13.2%
/	860	9.2%
4	689	7.4%
.	516	5.5%
5	456	4.9%
2	364	3.9%
8	351	3.8%
=	344	3.7%
7	342	3.7%
Other values (6)	1234	13.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24768	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2922	11.8%
a	1500	6.1%
1	1224	4.9%
n	1204	4.9%
e	1141	4.6%
d	1051	4.2%
b	906	3.7%
t	860	3.5%
/	860	3.5%
4	689	2.8%
Other values (32)	12411	50.1%

NOMBRE-VIA
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	154
Distinct (%)	89.5%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

GENERAL RICARDOS	3
DOCTOR ESQUERDO	3
VICTORIA	3
ULISES	3
COLMENAR VIEJO	2
Other values (149)	158

Length

Max length	38
Median length	13
Mean length	13.1744186
Min length	3

Characters and Unicode

Total characters	2266
Distinct characters	44
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	140 ?
Unique (%)	81.4%

Sample

1st row	JOSE MARTINEZ DE VELASCO
2nd row	JERTE
3rd row	BELZUNEGUI
4th row	LUIS USERA
5th row	INFANTA MERCEDES

Value	Count	Frequency (%)
GENERAL RICARDOS	3	1.7%
DOCTOR ESQUERDO	3	1.7%
VICTORIA	3	1.7%
ULISES	3	1.7%
COLMENAR VIEJO	2	1.2%
AGUSTIN CALVO	2	1.2%
ARTURO SORIA	2	1.2%
ZAZUAR	2	1.2%
DUQUESA DE CASTREJON	2	1.2%
SAN BERNARDO	2	1.2%
Other values (144)	148	86.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	37	10.5%
santa	6	1.7%
doctor	6	1.7%
victoria	5	1.4%
la	5	1.4%
los	3	0.9%
francisco	3	0.9%
ricardos	3	0.9%
general	3	0.9%
juan	3	0.9%
Other values (232)	277	78.9%

Most occurring characters

Value	Count	Frequency (%)
A	320	14.1%
E	211	9.3%
R	195	8.6%
	179	7.9%
O	174	7.7%
I	141	6.2%
S	130	5.7%
N	130	5.7%
L	117	5.2%
D	107	4.7%
Other values (34)	562	24.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2050	90.5%
Space Separator	179	7.9%
Lowercase Letter	24	1.1%
Other Punctuation	9	0.4%
Decimal Number	3	0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
A	320	15.6%
E	211	10.3%
R	195	9.5%
O	174	8.5%
I	141	6.9%
S	130	6.3%
N	130	6.3%
L	117	5.7%
D	107	5.2%
C	87	4.2%
Other values (19)	438	21.4%

Value	Count	Frequency (%)
a	3	12.5%
m	3	12.5%
p	3	12.5%
t	3	12.5%
i	3	12.5%
l	3	12.5%
d	3	12.5%
e	3	12.5%

Value	Count	Frequency (%)
6	1	33.3%
0	1	33.3%
7	1	33.3%

Value	Count	Frequency (%)
;	6	66.7%
&	3	33.3%

Value	Count	Frequency (%)
	179	100.0%

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2074	91.5%
Common	192	8.5%

Most frequent character per script

Value	Count	Frequency (%)
A	320	15.4%
E	211	10.2%
R	195	9.4%
O	174	8.4%
I	141	6.8%
S	130	6.3%
N	130	6.3%
L	117	5.6%
D	107	5.2%
C	87	4.2%
Other values (27)	462	22.3%

Value	Count	Frequency (%)
	179	93.2%
;	6	3.1%
&	3	1.6%
-	1	0.5%
6	1	0.5%
0	1	0.5%
7	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2250	99.3%
Latin 1 Sup	16	0.7%

Most frequent character per block

Value	Count	Frequency (%)
A	320	14.2%
E	211	9.4%
R	195	8.7%
	179	8.0%
O	174	7.7%
I	141	6.3%
S	130	5.8%
N	130	5.8%
L	117	5.2%
D	107	4.8%
Other values (30)	546	24.3%

Value	Count	Frequency (%)
Ñ	8	50.0%
Í	5	31.2%
Á	2	12.5%
Ó	1	6.2%

CLASE-VIAL
Categorical

Distinct	5
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

CALLE	143
AVENIDA	18
CARRETERA	5
PASEO	5
PLAZA	1

Length

Max length	9
Median length	5
Mean length	5.325581395
Min length	5

Characters and Unicode

Total characters	916
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	CALLE
2nd row	CALLE
3rd row	CALLE
4th row	CALLE
5th row	CALLE

Value	Count	Frequency (%)
CALLE	143	83.1%
AVENIDA	18	10.5%
CARRETERA	5	2.9%
PASEO	5	2.9%
PLAZA	1	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
calle	143	83.1%
avenida	18	10.5%
carretera	5	2.9%
paseo	5	2.9%
plaza	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
L	287	31.3%
A	196	21.4%
E	176	19.2%
C	148	16.2%
V	18	2.0%
N	18	2.0%
I	18	2.0%
D	18	2.0%
R	15	1.6%
P	6	0.7%
Other values (4)	16	1.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	916	100.0%

Most frequent character per category

Value	Count	Frequency (%)
L	287	31.3%
A	196	21.4%
E	176	19.2%
C	148	16.2%
V	18	2.0%
N	18	2.0%
I	18	2.0%
D	18	2.0%
R	15	1.6%
P	6	0.7%
Other values (4)	16	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	916	100.0%

Most frequent character per script

Value	Count	Frequency (%)
L	287	31.3%
A	196	21.4%
E	176	19.2%
C	148	16.2%
V	18	2.0%
N	18	2.0%
I	18	2.0%
D	18	2.0%
R	15	1.6%
P	6	0.7%
Other values (4)	16	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	916	100.0%

Most frequent character per block

Value	Count	Frequency (%)
L	287	31.3%
A	196	21.4%
E	176	19.2%
C	148	16.2%
V	18	2.0%
N	18	2.0%
I	18	2.0%
D	18	2.0%
R	15	1.6%
P	6	0.7%
Other values (4)	16	1.7%

TIPO-NUM
Categorical

Distinct	3
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

V	140
NUM	31
T	1

Length

Max length	3
Median length	1
Mean length	1.360465116
Min length	1

Characters and Unicode

Total characters	234
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	V
2nd row	V
3rd row	V
4th row	V
5th row	V

Value	Count	Frequency (%)
V	140	81.4%
NUM	31	18.0%
T	1	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
v	140	81.4%
num	31	18.0%
t	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
V	140	59.8%
N	31	13.2%
U	31	13.2%
M	31	13.2%
T	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	234	100.0%

Most frequent character per category

Value	Count	Frequency (%)
V	140	59.8%
N	31	13.2%
U	31	13.2%
M	31	13.2%
T	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	234	100.0%

Most frequent character per script

Value	Count	Frequency (%)
V	140	59.8%
N	31	13.2%
U	31	13.2%
M	31	13.2%
T	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234	100.0%

Most frequent character per block

Value	Count	Frequency (%)
V	140	59.8%
N	31	13.2%
U	31	13.2%
M	31	13.2%
T	1	0.4%

NUM
Real number (ℝ_≥0)

Distinct	79
Distinct (%)	46.2%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%

Mean	55.04678363
Minimum	1
Maximum	1600
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	7
median	24
Q3	55
95-th percentile	182.5
Maximum	1600
Range	1599
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	133.5451372
Coefficient of variation (CV)	2.426029796
Kurtosis	106.4917405
Mean	55.04678363
Median Absolute Deviation (MAD)	20
Skewness	9.405494577
Sum	9413
Variance	17834.30368
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	9	5.2%
3	9	5.2%
2	8	4.7%
1	7	4.1%
38	5	2.9%
15	5	2.9%
7	5	2.9%
14	5	2.9%
24	5	2.9%
8	5	2.9%
Other values (69)	108	62.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	7	4.1%
2	8	4.7%
3	9	5.2%
4	9	5.2%
5	2	1.2%

Value	Count	Frequency (%)
1600	1	0.6%
384	1	0.6%
278	1	0.6%
261	1	0.6%
247	1	0.6%

PLANTA
Categorical

MISSING

Distinct	5
Distinct (%)	83.3%
Missing	166
Missing (%)	96.5%
Memory size	1.5 KiB

BAJA	2
2	1
Bajo	1
5	1
2º	1

Length

Max length	4
Median length	3
Mean length	2.666666667
Min length	1

Characters and Unicode

Total characters	16
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	66.7%

Sample

1st row	2
2nd row	Bajo
3rd row	5
4th row	2º
5th row	BAJA

Value	Count	Frequency (%)
BAJA	2	1.2%
2	1	0.6%
Bajo	1	0.6%
5	1	0.6%
2º	1	0.6%
(Missing)	166	96.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
baja	2	33.3%
2	1	16.7%
bajo	1	16.7%
5	1	16.7%
2º	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
A	4	25.0%
B	3	18.8%
2	2	12.5%
J	2	12.5%
a	1	6.2%
j	1	6.2%
o	1	6.2%
5	1	6.2%
º	1	6.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	9	56.2%
Decimal Number	3	18.8%
Lowercase Letter	3	18.8%
Other Letter	1	6.2%

Most frequent character per category

Value	Count	Frequency (%)
A	4	44.4%
B	3	33.3%
J	2	22.2%

Value	Count	Frequency (%)
a	1	33.3%
j	1	33.3%
o	1	33.3%

Value	Count	Frequency (%)
2	2	66.7%
5	1	33.3%

Value	Count	Frequency (%)
º	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13	81.2%
Common	3	18.8%

Most frequent character per script

Value	Count	Frequency (%)
A	4	30.8%
B	3	23.1%
J	2	15.4%
a	1	7.7%
j	1	7.7%
o	1	7.7%
º	1	7.7%

Value	Count	Frequency (%)
2	2	66.7%
5	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15	93.8%
Latin 1 Sup	1	6.2%

Most frequent character per block

Value	Count	Frequency (%)
A	4	26.7%
B	3	20.0%
2	2	13.3%
J	2	13.3%
a	1	6.7%
j	1	6.7%
o	1	6.7%
5	1	6.7%

Value	Count	Frequency (%)
º	1	100.0%

PUERTA
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	171
Missing (%)	99.4%
Memory size	1.5 KiB

A	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	A

Value	Count	Frequency (%)
A	1	0.6%
(Missing)	171	99.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
a	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	1	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1	100.0%

Most frequent character per category

Value	Count	Frequency (%)
A	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1	100.0%

Most frequent character per script

Value	Count	Frequency (%)
A	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1	100.0%

Most frequent character per block

Value	Count	Frequency (%)
A	1	100.0%

ESCALERAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	172
Missing (%)	100.0%
Memory size	1.5 KiB

ORIENTACION
Categorical

MISSING
UNIFORM

Distinct	7
Distinct (%)	100.0%
Missing	165
Missing (%)	95.9%
Memory size	1.5 KiB

A	1
KILÓMETRO 13	1
CHALET	1
km 14,400	1
y 5	1
Other values (2)	2

Length

Max length	25
Median length	6
Mean length	8.571428571
Min length	1

Characters and Unicode

Total characters	60
Distinct characters	34
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	100.0%

Sample

1st row	A
2nd row	KILÓMETRO 13
3rd row	CHALET
4th row	km 14,400
5th row	y 5

Value	Count	Frequency (%)
A	1	0.6%
KILÓMETRO 13	1	0.6%
CHALET	1	0.6%
km 14,400	1	0.6%
y 5	1	0.6%
Y 46	1	0.6%
con vuelta a calle Templo	1	0.6%
(Missing)	165	95.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
a	2	13.3%
y	2	13.3%
kilómetro	1	6.7%
13	1	6.7%
chalet	1	6.7%
km	1	6.7%
14,400	1	6.7%
5	1	6.7%
46	1	6.7%
con	1	6.7%
Other values (3)	3	20.0%

Most occurring characters

Value	Count	Frequency (%)
	8	13.3%
l	4	6.7%
T	3	5.0%
4	3	5.0%
e	3	5.0%
a	3	5.0%
A	2	3.3%
L	2	3.3%
E	2	3.3%
1	2	3.3%
Other values (24)	28	46.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23	38.3%
Uppercase Letter	18	30.0%
Decimal Number	10	16.7%
Space Separator	8	13.3%
Other Punctuation	1	1.7%

Most frequent character per category

Value	Count	Frequency (%)
T	3	16.7%
A	2	11.1%
L	2	11.1%
E	2	11.1%
K	1	5.6%
I	1	5.6%
Ó	1	5.6%
M	1	5.6%
R	1	5.6%
O	1	5.6%
Other values (3)	3	16.7%

Value	Count	Frequency (%)
l	4	17.4%
e	3	13.0%
a	3	13.0%
m	2	8.7%
c	2	8.7%
o	2	8.7%
k	1	4.3%
y	1	4.3%
n	1	4.3%
v	1	4.3%
Other values (3)	3	13.0%

Value	Count	Frequency (%)
4	3	30.0%
1	2	20.0%
0	2	20.0%
3	1	10.0%
5	1	10.0%
6	1	10.0%

Value	Count	Frequency (%)
	8	100.0%

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41	68.3%
Common	19	31.7%

Most frequent character per script

Value	Count	Frequency (%)
l	4	9.8%
T	3	7.3%
e	3	7.3%
a	3	7.3%
A	2	4.9%
L	2	4.9%
E	2	4.9%
m	2	4.9%
c	2	4.9%
o	2	4.9%
Other values (16)	16	39.0%

Value	Count	Frequency (%)
	8	42.1%
4	3	15.8%
1	2	10.5%
0	2	10.5%
3	1	5.3%
,	1	5.3%
5	1	5.3%
6	1	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	59	98.3%
Latin 1 Sup	1	1.7%

Most frequent character per block

Value	Count	Frequency (%)
	8	13.6%
l	4	6.8%
T	3	5.1%
4	3	5.1%
e	3	5.1%
a	3	5.1%
A	2	3.4%
L	2	3.4%
E	2	3.4%
1	2	3.4%
Other values (23)	27	45.8%

Value	Count	Frequency (%)
Ó	1	100.0%

LOCALIDAD
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

MADRID	172

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1032
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MADRID
2nd row	MADRID
3rd row	MADRID
4th row	MADRID
5th row	MADRID

Value	Count	Frequency (%)
MADRID	172	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
madrid	172	100.0%

Most occurring characters

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1032	100.0%

Most frequent character per category

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1032	100.0%

Most frequent character per script

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1032	100.0%

Most frequent character per block

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

PROVINCIA
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

MADRID	172

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1032
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MADRID
2nd row	MADRID
3rd row	MADRID
4th row	MADRID
5th row	MADRID

Value	Count	Frequency (%)
MADRID	172	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
madrid	172	100.0%

Most occurring characters

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1032	100.0%

Most frequent character per category

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1032	100.0%

Most frequent character per script

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1032	100.0%

Most frequent character per block

Value	Count	Frequency (%)
D	344	33.3%
M	172	16.7%
A	172	16.7%
R	172	16.7%
I	172	16.7%

CODIGO-POSTAL
Real number (ℝ_≥0)

Distinct	47
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	28028.15698
Minimum	28001
Maximum	28053
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	28001
5-th percentile	28003
Q1	28019
median	28030
Q3	28041
95-th percentile	28047.9
Maximum	28053
Range	52
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	14.31450449
Coefficient of variation (CV)	0.0005107187212
Kurtosis	-0.9534771128
Mean	28028.15698
Median Absolute Deviation (MAD)	11
Skewness	-0.3650461657
Sum	4820843
Variance	204.9050388
Monotocity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
28043	12	7.0%
28023	12	7.0%
28035	9	5.2%
28044	7	4.1%
28002	6	3.5%
28028	6	3.5%
28007	5	2.9%
28008	5	2.9%
28036	5	2.9%
28040	5	2.9%
Other values (37)	100	58.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28001	2	1.2%
28002	6	3.5%
28003	3	1.7%
28004	2	1.2%
28005	4	2.3%

Value	Count	Frequency (%)
28053	2	1.2%
28051	1	0.6%
28050	2	1.2%
28049	4	2.3%
28047	4	2.3%

COD-BARRIO
Real number (ℝ_≥0)

MISSING

Distinct	9
Distinct (%)	5.4%
Missing	6
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%

Mean	3.897590361
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.943534793
Coefficient of variation (CV)	0.4986503488
Kurtosis	-0.6612227267
Mean	3.897590361
Median Absolute Deviation (MAD)	1
Skewness	0.2963584877
Sum	647
Variance	3.777327492
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	35	20.3%
5	25	14.5%
4	25	14.5%
2	22	12.8%
1	21	12.2%
6	20	11.6%
7	14	8.1%
8	2	1.2%
9	2	1.2%
(Missing)	6	3.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	21	12.2%
2	22	12.8%
3	35	20.3%
4	25	14.5%
5	25	14.5%

Value	Count	Frequency (%)
9	2	1.2%
8	2	1.2%
7	14	8.1%
6	20	11.6%
5	25	14.5%

BARRIO
Categorical

HIGH CARDINALITY
MISSING

Distinct	87
Distinct (%)	51.2%
Missing	2
Missing (%)	1.2%
Memory size	1.5 KiB

CIUDAD UNIVERSITARIA	9
CANILLAS	7
EL PLANTIO	5
MIRASIERRA	5
VALDEMARIN	5
Other values (82)	139

Length

Max length	20
Median length	10
Mean length	10.45882353
Min length	4

Characters and Unicode

Total characters	1778
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	25.9%

Sample

1st row	ESTRELLA
2nd row	PALACIO
3rd row	PUERTA BONITA
4th row	PRADOLONGO
5th row	CUATRO CAMINOS

Value	Count	Frequency (%)
CIUDAD UNIVERSITARIA	9	5.2%
CANILLAS	7	4.1%
EL PLANTIO	5	2.9%
MIRASIERRA	5	2.9%
VALDEMARIN	5	2.9%
PUERTA BONITA	5	2.9%
BUENAVISTA	4	2.3%
HISPANOAMERICA	4	2.3%
PAVONES	4	2.3%
NUEVA ESPAÑA	4	2.3%
Other values (77)	118	68.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
ciudad	11	4.5%
el	9	3.7%
universitaria	9	3.7%
san	7	2.9%
canillas	7	2.9%
valdemarin	5	2.0%
plantio	5	2.0%
mirasierra	5	2.0%
puerta	5	2.0%
bonita	5	2.0%
Other values (102)	177	72.2%

Most occurring characters

Value	Count	Frequency (%)
A	299	16.8%
E	163	9.2%
I	147	8.3%
R	132	7.4%
S	130	7.3%
L	129	7.3%
N	100	5.6%
O	92	5.2%
	75	4.2%
U	70	3.9%
Other values (18)	441	24.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1697	95.4%
Space Separator	75	4.2%
Other Punctuation	6	0.3%

Most frequent character per category

Value	Count	Frequency (%)
A	299	17.6%
E	163	9.6%
I	147	8.7%
R	132	7.8%
S	130	7.7%
L	129	7.6%
N	100	5.9%
O	92	5.4%
U	70	4.1%
D	69	4.1%
Other values (16)	366	21.6%

Value	Count	Frequency (%)
	75	100.0%

Value	Count	Frequency (%)
.	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1697	95.4%
Common	81	4.6%

Most frequent character per script

Value	Count	Frequency (%)
A	299	17.6%
E	163	9.6%
I	147	8.7%
R	132	7.8%
S	130	7.7%
L	129	7.6%
N	100	5.9%
O	92	5.4%
U	70	4.1%
D	69	4.1%
Other values (16)	366	21.6%

Value	Count	Frequency (%)
	75	92.6%
.	6	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1767	99.4%
Latin 1 Sup	11	0.6%

Most frequent character per block

Value	Count	Frequency (%)
A	299	16.9%
E	163	9.2%
I	147	8.3%
R	132	7.5%
S	130	7.4%
L	129	7.3%
N	100	5.7%
O	92	5.2%
	75	4.2%
U	70	4.0%
Other values (15)	430	24.3%

Value	Count	Frequency (%)
Ñ	9	81.8%
Ü	1	9.1%
Á	1	9.1%

COD-DISTRITO
Real number (ℝ_≥0)

MISSING

Distinct	21
Distinct (%)	12.7%
Missing	6
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%

Mean	10.06024096
Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	9
Q3	14
95-th percentile	19.75
Maximum	21
Range	20
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.148343417
Coefficient of variation (CV)	0.5117515014
Kurtosis	-0.7718488592
Mean	10.06024096
Median Absolute Deviation (MAD)	4
Skewness	0.2532579325
Sum	1670
Variance	26.50543994
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
9	26	15.1%
16	15	8.7%
5	15	8.7%
11	13	7.6%
8	12	7.0%
4	10	5.8%
2	7	4.1%
13	7	4.1%
12	6	3.5%
10	6	3.5%
Other values (11)	49	28.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	2.3%
2	7	4.1%
3	5	2.9%
4	10	5.8%
5	15	8.7%

Value	Count	Frequency (%)
21	3	1.7%
20	6	3.5%
19	1	0.6%
18	5	2.9%
17	4	2.3%

DISTRITO
Categorical

Distinct	21
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

MONCLOA-ARAVACA	27
CHAMARTIN	15
HORTALEZA	15
FUENCARRAL-EL PARDO	14
CARABANCHEL	13
Other values (16)	88

Length

Max length	19
Median length	10
Mean length	11.50581395
Min length	5

Characters and Unicode

Total characters	1979
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	RETIRO
2nd row	CENTRO
3rd row	CARABANCHEL
4th row	USERA
5th row	TETUAN

Value	Count	Frequency (%)
MONCLOA-ARAVACA	27	15.7%
CHAMARTIN	15	8.7%
HORTALEZA	15	8.7%
FUENCARRAL-EL PARDO	14	8.1%
CARABANCHEL	13	7.6%
SALAMANCA	11	6.4%
PUENTE DE VALLECAS	7	4.1%
ARGANZUELA	7	4.1%
LATINA	7	4.1%
CIUDAD LINEAL	6	3.5%
Other values (11)	50	29.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
moncloa-aravaca	27	12.2%
hortaleza	15	6.8%
chamartin	15	6.8%
fuencarral-el	14	6.3%
pardo	14	6.3%
carabanchel	13	5.9%
vallecas	12	5.4%
de	12	5.4%
salamanca	11	5.0%
puente	7	3.2%
Other values (16)	82	36.9%

Most occurring characters

Value	Count	Frequency (%)
A	467	23.6%
L	188	9.5%
R	159	8.0%
C	155	7.8%
E	148	7.5%
N	127	6.4%
O	98	5.0%
T	66	3.3%
M	64	3.2%
I	62	3.1%
Other values (13)	445	22.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1882	95.1%
Space Separator	50	2.5%
Dash Punctuation	47	2.4%

Most frequent character per category

Value	Count	Frequency (%)
A	467	24.8%
L	188	10.0%
R	159	8.4%
C	155	8.2%
E	148	7.9%
N	127	6.7%
O	98	5.2%
T	66	3.5%
M	64	3.4%
I	62	3.3%
Other values (11)	348	18.5%

Value	Count	Frequency (%)
-	47	100.0%

Value	Count	Frequency (%)
	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1882	95.1%
Common	97	4.9%

Most frequent character per script

Value	Count	Frequency (%)
A	467	24.8%
L	188	10.0%
R	159	8.4%
C	155	8.2%
E	148	7.9%
N	127	6.7%
O	98	5.2%
T	66	3.5%
M	64	3.4%
I	62	3.3%
Other values (11)	348	18.5%

Value	Count	Frequency (%)
	50	51.5%
-	47	48.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1979	100.0%

Most frequent character per block

Value	Count	Frequency (%)
A	467	23.6%
L	188	9.5%
R	159	8.0%
C	155	7.8%
E	148	7.5%
N	127	6.4%
O	98	5.0%
T	66	3.3%
M	64	3.2%
I	62	3.1%
Other values (13)	445	22.5%

COORDENADA-X
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	168
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	441188.9942
Minimum	429102
Maximum	450373
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	429102
5-th percentile	433727.85
Q1	438948.5
median	441557.5
Q3	443742.25
95-th percentile	448055.3
Maximum	450373
Range	21271
Interquartile range (IQR)	4793.75

Descriptive statistics

Standard deviation	4214.901531
Coefficient of variation (CV)	0.00955350561
Kurtosis	0.3317387041
Mean	441188.9942
Median Absolute Deviation (MAD)	2492.5
Skewness	-0.4000755336
Sum	75884507
Variance	17765394.92
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
437487	3	1.7%
444817	2	1.2%
441701	2	1.2%
443346	1	0.6%
438589	1	0.6%
446486	1	0.6%
440328	1	0.6%
442204	1	0.6%
439661	1	0.6%
442433	1	0.6%
Other values (158)	158	91.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
429102	1	0.6%
429407	1	0.6%
429949	1	0.6%
430447	1	0.6%
431021	1	0.6%

Value	Count	Frequency (%)
450373	1	0.6%
450267	1	0.6%
449935	1	0.6%
448774	1	0.6%
448478	1	0.6%

COORDENADA-Y
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	169
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4475966.558
Minimum	4466215
Maximum	4490699
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	4466215
5-th percentile	4469204.95
Q1	4472269.25
median	4476213.5
Q3	4479376
95-th percentile	4482147.9
Maximum	4490699
Range	24484
Interquartile range (IQR)	7106.75

Descriptive statistics

Standard deviation	4581.76748
Coefficient of variation (CV)	0.001023637559
Kurtosis	0.1597502634
Mean	4475966.558
Median Absolute Deviation (MAD)	3497.5
Skewness	0.238483283
Sum	769866248
Variance	20992593.24
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4470773	3	1.7%
4472387	2	1.2%
4473992	1	0.6%
4478962	1	0.6%
4473160	1	0.6%
4480089	1	0.6%
4472708	1	0.6%
4468532	1	0.6%
4478310	1	0.6%
4490699	1	0.6%
Other values (159)	159	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4466215	1	0.6%
4467103	1	0.6%
4467169	1	0.6%
4467529	1	0.6%
4467959	1	0.6%

Value	Count	Frequency (%)
4490699	1	0.6%
4490491	1	0.6%
4487960	1	0.6%
4487845	1	0.6%
4483689	1	0.6%

LATITUD
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	169
Distinct (%)	99.4%
Missing	2
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%

Mean	40.43058511
Minimum	40.34450741
Maximum	40.5395209
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	40.34450741
5-th percentile	40.37092803
Q1	40.39812638
median	40.43330771
Q3	40.46136819
95-th percentile	40.48465855
Maximum	40.5395209
Range	0.195013496
Interquartile range (IQR)	0.06324180875

Descriptive statistics

Standard deviation	0.03891513595
Coefficient of variation (CV)	0.0009625172586
Kurtosis	-0.5803725334
Mean	40.43058511
Median Absolute Deviation (MAD)	0.03147621776
Skewness	-0.05579441006
Sum	6873.199469
Variance	0.001514387806
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.38519738	2	1.2%
40.45264368	1	0.6%
40.46872244	1	0.6%
40.40138386	1	0.6%
40.36522658	1	0.6%
40.45343509	1	0.6%
40.45009083	1	0.6%
40.45984513	1	0.6%
40.46793412	1	0.6%
40.46144546	1	0.6%
Other values (159)	159	92.4%
(Missing)	2	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40.34450741	1	0.6%
40.35225354	1	0.6%
40.35303592	1	0.6%
40.35628126	1	0.6%
40.3599954	1	0.6%

Value	Count	Frequency (%)
40.5395209	1	0.6%
40.53932122	1	0.6%
40.50204944	1	0.6%
40.49456057	1	0.6%
40.49310012	1	0.6%

LONGITUD
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	169
Distinct (%)	99.4%
Missing	2
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%

Mean	-3.693217825
Minimum	-3.8364014
Maximum	-3.585469238
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	-3.8364014
5-th percentile	-3.781867786
Q1	-3.719381953
median	-3.688865547
Q3	-3.662881012
95-th percentile	-3.612076715
Maximum	-3.585469238
Range	0.2509321625
Interquartile range (IQR)	0.05650094081

Descriptive statistics

Standard deviation	0.04994757264
Coefficient of variation (CV)	-0.01352413397
Kurtosis	0.3324535279
Mean	-3.693217825
Median Absolute Deviation (MAD)	0.02958254169
Skewness	-0.4150915812
Sum	-627.8470303
Variance	0.002494760013
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-3.736499741	2	1.2%
-3.653291417	1	0.6%
-3.797229004	1	0.6%
-3.631925629	1	0.6%
-3.702821116	1	0.6%
-3.681614985	1	0.6%
-3.678880646	1	0.6%
-3.5865713	1	0.6%
-3.795273364	1	0.6%
-3.724345819	1	0.6%
Other values (159)	159	92.4%
(Missing)	2	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-3.8364014	1	0.6%
-3.832784146	1	0.6%
-3.826360669	1	0.6%
-3.820450702	1	0.6%
-3.813719618	1	0.6%

Value	Count	Frequency (%)
-3.585469238	1	0.6%
-3.5865713	1	0.6%
-3.590552263	1	0.6%
-3.603858061	1	0.6%
-3.606982761	1	0.6%

TELEFONO
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	166
Distinct (%)	97.6%
Missing	2
Missing (%)	1.2%
Memory size	1.5 KiB

913 287 070	2
913 728 102	2
914 625 800	2
913 648 252	2
917 400 386	1
Other values (161)	161

Length

Max length	54
Median length	11
Mean length	13.73529412
Min length	11

Characters and Unicode

Total characters	2335
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	162 ?
Unique (%)	95.3%

Sample

1st row	915 571 319
2nd row	913 644 005
3rd row	915 254 211
4th row	914 766 831
5th row	913 308 842

Value	Count	Frequency (%)
913 287 070	2	1.2%
913 728 102	2	1.2%
914 625 800	2	1.2%
913 648 252	2	1.2%
917 400 386	1	0.6%
913 079 340	1	0.6%
913 710 867 / 913 710 158	1	0.6%
913 175 467 / 913 175 468	1	0.6%
913 440 020	1	0.6%
917 347 477	1	0.6%
Other values (156)	156	90.7%
(Missing)	2	1.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
913	67	10.8%
917	45	7.3%
915	38	6.1%
914	31	5.0%
	22	3.6%
día	5	0.8%
centro	5	0.8%
residencia	5	0.8%
800	5	0.8%
252	5	0.8%
Other values (301)	391	63.2%

Most occurring characters

Value	Count	Frequency (%)
	452	19.4%
1	295	12.6%
9	273	11.7%
0	198	8.5%
3	161	6.9%
5	152	6.5%
4	149	6.4%
7	142	6.1%
2	136	5.8%
6	121	5.2%
Other values (16)	256	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1728	74.0%
Space Separator	452	19.4%
Lowercase Letter	111	4.8%
Other Punctuation	22	0.9%
Open Punctuation	11	0.5%
Close Punctuation	11	0.5%

Most frequent character per category

Value	Count	Frequency (%)
e	21	18.9%
d	15	13.5%
n	11	9.9%
c	11	9.9%
r	10	9.0%
i	10	9.0%
a	10	9.0%
o	6	5.4%
s	6	5.4%
t	5	4.5%
Other values (2)	6	5.4%

Value	Count	Frequency (%)
1	295	17.1%
9	273	15.8%
0	198	11.5%
3	161	9.3%
5	152	8.8%
4	149	8.6%
7	142	8.2%
2	136	7.9%
6	121	7.0%
8	101	5.8%

Value	Count	Frequency (%)
	452	100.0%

Value	Count	Frequency (%)
/	22	100.0%

Value	Count	Frequency (%)
(	11	100.0%

Value	Count	Frequency (%)
)	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2224	95.2%
Latin	111	4.8%

Most frequent character per script

Value	Count	Frequency (%)
	452	20.3%
1	295	13.3%
9	273	12.3%
0	198	8.9%
3	161	7.2%
5	152	6.8%
4	149	6.7%
7	142	6.4%
2	136	6.1%
6	121	5.4%
Other values (4)	145	6.5%

Value	Count	Frequency (%)
e	21	18.9%
d	15	13.5%
n	11	9.9%
c	11	9.9%
r	10	9.0%
i	10	9.0%
a	10	9.0%
o	6	5.4%
s	6	5.4%
t	5	4.5%
Other values (2)	6	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2330	99.8%
Latin 1 Sup	5	0.2%

Most frequent character per block

Value	Count	Frequency (%)
	452	19.4%
1	295	12.7%
9	273	11.7%
0	198	8.5%
3	161	6.9%
5	152	6.5%
4	149	6.4%
7	142	6.1%
2	136	5.8%
6	121	5.2%
Other values (15)	251	10.8%

Value	Count	Frequency (%)
í	5	100.0%

FAX
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	172
Missing (%)	100.0%
Memory size	1.5 KiB

EMAIL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	172
Missing (%)	100.0%
Memory size	1.5 KiB

TIPO
Categorical

Distinct	3
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores	170
/contenido/entidadesYorganismos/CentrosAtencionMedica/HospitalesClinicasSanatorios	1
/contenido/entidadesYorganismos/CentrosAtencionSocial/AlberguesSocialesCentrosAcogida	1

Length

Max length	91
Median length	91
Mean length	90.9127907
Min length	82

Characters and Unicode

Total characters	15637
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.2%

Sample

1st row	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
2nd row	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
3rd row	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
4th row	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
5th row	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores

Value	Count	Frequency (%)
/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores	170	98.8%
/contenido/entidadesYorganismos/CentrosAtencionMedica/HospitalesClinicasSanatorios	1	0.6%
/contenido/entidadesYorganismos/CentrosAtencionSocial/AlberguesSocialesCentrosAcogida	1	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
contenido/entidadesyorganismos/centrosatencionsocialmayores/residenciasapartamentosmayores	170	98.8%
contenido/entidadesyorganismos/centrosatencionmedica/hospitalesclinicassanatorios	1	0.6%
contenido/entidadesyorganismos/centrosatencionsocial/alberguessocialescentrosacogida	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
o	1719	11.0%
e	1716	11.0%
n	1547	9.9%
s	1545	9.9%
a	1372	8.8%
i	1206	7.7%
t	1031	6.6%
r	857	5.5%
c	689	4.4%
/	688	4.4%
Other values (15)	3267	20.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13574	86.8%
Uppercase Letter	1375	8.8%
Other Punctuation	688	4.4%

Most frequent character per category

Value	Count	Frequency (%)
o	1719	12.7%
e	1716	12.6%
n	1547	11.4%
s	1545	11.4%
a	1372	10.1%
i	1206	8.9%
t	1031	7.6%
r	857	6.3%
c	689	5.1%
d	688	5.1%
Other values (7)	1204	8.9%

Value	Count	Frequency (%)
A	344	25.0%
M	341	24.8%
C	174	12.7%
S	173	12.6%
Y	172	12.5%
R	170	12.4%
H	1	0.1%

Value	Count	Frequency (%)
/	688	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14949	95.6%
Common	688	4.4%

Most frequent character per script

Value	Count	Frequency (%)
o	1719	11.5%
e	1716	11.5%
n	1547	10.3%
s	1545	10.3%
a	1372	9.2%
i	1206	8.1%
t	1031	6.9%
r	857	5.7%
c	689	4.6%
d	688	4.6%
Other values (14)	2579	17.3%

Value	Count	Frequency (%)
/	688	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15637	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	1719	11.0%
e	1716	11.0%
n	1547	9.9%
s	1545	9.9%
a	1372	8.8%
i	1206	7.7%
t	1031	6.6%
r	857	5.5%
c	689	4.4%
/	688	4.4%
Other values (15)	3267	20.9%

Unnamed: 32
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

	172

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	172
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Value	Count	Frequency (%)
	172	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
No values found.

Most occurring characters

Value	Count	Frequency (%)
	172	100.0%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	172	100.0%

Most frequent character per category

Value	Count	Frequency (%)
	172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	172	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	172	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	172	100.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	PK	NOMBRE	DESCRIPCION-ENTIDAD	HORARIO	EQUIPAMIENTO	TRANSPORTE	DESCRIPCION	ACCESIBILIDAD	CONTENT-URL	NOMBRE-VIA	CLASE-VIAL	TIPO-NUM	NUM	PLANTA	PUERTA	ESCALERAS	ORIENTACION	LOCALIDAD	PROVINCIA	CODIGO-POSTAL	COD-BARRIO	BARRIO	COD-DISTRITO	DISTRITO	COORDENADA-X	COORDENADA-Y	LATITUD	LONGITUD	TELEFONO	FAX	EMAIL	TIPO
0	23711	Apartamentos Municipales para Mayores 'Retiro'	NaN	NaN	Alojamiento.	Metro: Sainz de BarandaBus: 15, 30, 56, 143, 202	Condiciones de Admisión: - Estar empadronado en el municipio de Madrid.- Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años).- Ser autónomo en la realización de las actividades básicas diarias.- Carecer de vivienda propia o ser ésta inadecuada y/o encontrarse en riesgo por vivir solo.- Estar dispuesto a ingresar en un Centro Residencial Asistido cuando no se valga por sí mismo.	1	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=ce926545f951c010VgnVCM2000000c205a0aRCRD	JOSE MARTINEZ DE VELASCO	CALLE	V	22.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28007	3.0	ESTRELLA	3.0	RETIRO	443346	4473992	40.414615	-3.667775	915 571 319	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
1	11824	Apartamentos Municipales para Mayores 'San Francisco'	NaN	NaN	Alojamiento.	Metro: LatinaBus: 3, 148	Condiciones de Admisión: - Estar empadronado en el municipio de Madrid.- Ser mayor de 65 años (también el cónyuge que conviva con él, siempre que tenga cumplidos los 60 años).- Ser autónomo en la realización de las actividades básicas diarias.- Carecer de vivienda propia o ser ésta inadecuada y/o encontrarse en riesgo por vivir solo.- Estar dispuesto a ingresar en un Centro Residencial Asistido cuando no se valga por sí mismo.	1	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=8300d4985261c010VgnVCM1000000b205a0aRCRD	JERTE	CALLE	V	3.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28005	1.0	PALACIO	1.0	CENTRO	439289	4473597	40.410771	-3.715552	913 644 005	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
2	11545193	Centro de día Gerontológico de Estancia Diurna	NaN	NaN	NaN	Metro: San Francisco (línea 11). Bus: 118, 47.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=e3a5eabb8aa7d710VgnVCM1000001d4a900aRCRD	BELZUNEGUI	CALLE	V	15.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28025	5.0	PUERTA BONITA	11.0	CARABANCHEL	437271	4469741	40.375893	-3.738943	915 254 211	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
3	11542466	Centro de día Vivendia Personas Mayores	NaN	NaN	NaN	Metro: Usera (línea 6). Bus: 78.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=e95685f23df6d710VgnVCM2000001f4a900aRCRD	LUIS USERA	CALLE	V	4.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28026	7.0	PRADOLONGO	12.0	USERA	440051	4470191	40.380158	-3.706231	914 766 831	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
4	11545182	Centro de día para enfermos de alzheimer Reina Sofía (calle Infanta Mercedes 26)	NaN	NaN	NaN	Metro: Tetuán (línea 1). Bus: 126, 3. Bicimad: Estaciones 155 (calle San Germán, 57), 154 (calle Orense, 36), 152 (avenida del General Perón, 4). Aparcamiento: Presidente Carmona (33), avenida Presidente Carmona.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=83c3eabb8aa7d710VgnVCM1000001d4a900aRCRD	INFANTA MERCEDES	CALLE	V	26.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28020	2.0	CUATRO CAMINOS	6.0	TETUAN	440787	4478556	40.455565	-3.698340	913 308 842	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
5	11545229	Centro de día para mayores Cruz Roja Española edificio Muguet 7	NaN	NaN	NaN	Metro: Carabanchel Alto (línea 11). Bus: 108, 118.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=773c3fc00ea7d710VgnVCM1000001d4a900aRCRD	MUGUET	CALLE	V	7.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28044	6.0	BUENAVISTA	11.0	CARABANCHEL	436618	4469068	40.369783	-3.746559	915 325 555	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
6	11542485	Centro de día para mayores Doctor Espina	NaN	NaN	NaN	Metro: Oporto (líneas 5 y 6). Bus: 34, 35, 118.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=d129df004107d710VgnVCM2000001f4a900aRCRD	DOCTOR ESPINA	CALLE	V	16.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28019	2.0	OPAÑEL	11.0	CARABANCHEL	438223	4471266	40.389708	-3.727869	914 724 539	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
7	11542516	Centro de día para mayores Domusvi Chamartín	NaN	NaN	NaN	Metro: Alfonso XIII (línea 4). Bus: 73, 9, 72.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=e100df004107d710VgnVCM2000001f4a900aRCRD	ANTONIO SALCES	CALLE	V	1.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28002	2.0	PROSPERIDAD	5.0	CHAMARTIN	443130	4477415	40.445446	-3.670614	917 440 310	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
8	35679	Centro de día para mayores El Bosque	NaN	NaN	NaN	Metro: O'Donnell (línea 6). Bus: C2, 143, 156, 2, 56, 71, 12, 30, C1. Bicimad: Estación 184 (paseo Marqués de Zafra, 24).	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=efcb444a2951c010VgnVCM2000000c205a0aRCRD	LOS PEÑASCALES	CALLE	V	14.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28028	3.0	FUENTE DEL BERRO	4.0	SALAMANCA	443499	4475024	40.423938	-3.666044	915 732 828	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
9	17464	Centro de día para mayores Geriacen	NaN	NaN	NaN	Metro: Begoña (línea 10). Bus: 124, 137, 135, 175, 178. Cercanías Renfe: Ramón y Cajal (líneas C3, C7, C8 y Regional).	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=150832df1d51c010VgnVCM2000000c205a0aRCRD	VIRGEN DE ARANZAZU	CALLE	V	1.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28034	6.0	VALVERDE	8.0	FUENCARRAL-EL PARDO	441546	4481856	40.485343	-3.689693	NaN	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores

Last rows

	PK	NOMBRE	DESCRIPCION-ENTIDAD	HORARIO	EQUIPAMIENTO	TRANSPORTE	DESCRIPCION	ACCESIBILIDAD	CONTENT-URL	NOMBRE-VIA	CLASE-VIAL	TIPO-NUM	NUM	PLANTA	PUERTA	ESCALERAS	ORIENTACION	LOCALIDAD	PROVINCIA	CODIGO-POSTAL	COD-BARRIO	BARRIO	COD-DISTRITO	DISTRITO	COORDENADA-X	COORDENADA-Y	LATITUD	LONGITUD	TELEFONO	FAX	EMAIL	TIPO
162	175453	Residencia para mayores y centro de día Montehermoso	NaN	NaN	Residencia de personas mayores dependientes y centro de día.	Metro: Alto de Extremadura (línea 6). Bus: 33, 36, 39, 65, 31.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=8627bff77961c010VgnVCM1000000b205a0aRCRD	DOCTOR BLANCO NAJERA	CALLE	V	6.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28011	3.0	LUCERO	10.0	LATINA	436935	4473421	40.409010	-3.743277	915 267 585	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
163	5937334	Residencia para mayores y centro de día Nuestra Señora de Montserrat	NaN	NaN	Residencia de personas mayores mixta y centro de día.	Metro: San Bernardo (líneas 2 y 4). Bus: 147, 3, 21, C03. Bicimad: Estación 12 (calle San Bernardo, 85).	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=cfdbe25ed61ed210VgnVCM1000000b205a0aRCRD	SAN BERNARDO	CALLE	V	79.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28015	5.0	UNIVERSIDAD	1.0	CENTRO	440071	4475463	40.427646	-3.706512	914 471 250	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
164	96739	Residencia para mayores y centro de día Peñuelas	NaN	NaN	Residencia de personas mayores dependientes y centro de día.	Metro: Acacias (línea 5), Pirámides (línea 5). Bus: 62. Cercanías Renfe: Pirámides (líneas C1, C10 y Regional).	NaN	1	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=72fe4f36ff81c010VgnVCM1000000b205a0aRCRD	ARGANDA	CALLE	V	11.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28005	2.0	ACACIAS	2.0	ARGANZUELA	440040	4472538	40.401285	-3.706590	915 060 596	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
165	131562	Residencia para mayores y centro de día Plata y Castañar	NaN	Residencia de personas mayores dependientes y centro de día.	NaN	Bus: 76.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=10c015a11a81c010VgnVCM1000000b205a0aRCRD	PLATA Y CASTAÑAR	PASEO	V	38.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28021	NaN	SAN ANDRES	NaN	VILLAVERDE	438949	4467103	40.352254	-3.718925	917 987 912	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
166	11367	Residencia para mayores y centro de día Vallecas	NaN	NaN	Residencia de personas mayores autónomas y centro de día.	Bus: 54.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=c94914c4d661c010VgnVCM1000000b205a0aRCRD	BENJAMÍN PALENCIA	CALLE	V	25.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28038	5.0	PORTAZGO	13.0	PUENTE DE VALLECAS	445026	4471761	40.394638	-3.647770	917 791 440	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
167	112273	Residencia para mayores y centro de día Villaverde Alzheimer	NaN	NaN	Residencia de personas mayores dependientes y centro de día.	Bus: 123, 130, 23. Metro: Villaverde Bajo - Cruce (línea 3). Renfe: Villaverde Bajo (líneas C3, C4 y Regional).	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=e1d92189cb81c010VgnVCM1000000b205a0aRCRD	DE VILLAVERDE A VALLECAS	CARRETERA	V	38.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28021	4.0	LOS ROSALES	17.0	VILLAVERDE	441732	4467529	40.356281	-3.686194	917 230 961 / 917 230 962 / 917 230 963	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
168	6725657	Residencia para personas mayores Moratalaz	NaN	NaN	Residencia de personas mayores dependientes.	Metro: Pavones (línea 9). Bus: 30, 71, 8.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=45a3d83d582bb310VgnVCM1000000b205a0aRCRD	LUIS DE HOYOS SAINZ	CALLE	V	196.0	NaN	NaN	NaN	con vuelta a calle Templo	MADRID	MADRID	28030	1.0	PAVONES	14.0	MORATALAZ	446594	4472387	40.400380	-3.629347	917 730 483 / 917 730 495	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
169	5937351	Residencia sacerdotal para mayores San Pedro	NaN	NaN	Residencia de personas mayores mixta.	Metro: San Bernardo (líneas 2 y 4). Bus: 147, 3, 149, 37, 21, C03. Bicimad: Estación 3 (Plaza Conde Suchil, 3).	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=3d82e25ed61ed210VgnVCM1000000b205a0aRCRD	SAN BERNARDO	CALLE	V	101.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28015	2.0	ARAPILES	7.0	CHAMBERI	440155	4475821	40.430877	-3.705555	914 454 200	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
170	10846537	Residencia y Centro de día para mayores Albertia Moratalaz	NaN	NaN	Centro de día y residencia de personas mayores mixta.	Metro: Pavones (línea 9). Bus: 30, 71, 8, 32, 20.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=140b6ef4717a7610VgnVCM2000001f4a900aRCRD	HACIENDA DE PAVONES	CALLE	V	261.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28030	1.0	PAVONES	14.0	MORATALAZ	446485	4472300	40.399588	-3.630615	913 246 800	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores
171	5780684	Residencia, centro de día y pisos tutelados para mayores Usera	NaN	NaN	Residencia de personas mayores dependientes, pisos tutelados y centro de día.	Bus: 6, 60, 81, 78.	NaN	3	http://www.madrid.es/sites/v/index.jsp?vgnextchannel=bfa48ab43d6bb410VgnVCM100000171f5a0aRCRD&vgnextoid=3a0bc8a002b5a210VgnVCM2000000c205a0aRCRD	CRISTO DE LA VICTORIA	CALLE	V	247.0	NaN	NaN	NaN	NaN	MADRID	MADRID	28026	7.0	PRADOLONGO	12.0	USERA	439719	4470042	40.378777	-3.710148	913 307 200	NaN	NaN	/contenido/entidadesYorganismos/CentrosAtencionSocialMayores/ResidenciasApartamentosMayores

Overview

Variables

Most occurring characters

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Most frequent character per script

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Most frequent character per block

Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters